Top Data Analyst Jobs in Quezon City

Develops, optimizes, and maintains Power BI data models, financial reports, dashboards, and data sources. Translates stakeholder requirements into reporting solutions, manages data quality and governance, supports model users, documents data structures, and collaborates with data owners to ensure timely validation and refreshes. Requires advanced Power BI, DAX, Excel, business intelligence, and analytical skills, with responsibilities supporting financial reporting and analysis.

Analyze marketplace data using SQL and Snowflake, transform raw data into reusable tables, and maintain dashboards in Sisense and Tableau. The role validates data quality, reconciles discrepancies, answers ad hoc business questions, documents metrics, and presents insights to non-technical stakeholders. It supports commercial, supplier, customer relations, and operations teams while gradually taking ownership of analytics workstreams.

Supports sales-force effectiveness through data cleaning, access governance, KPI reporting, performance trend analysis, and migration from Excel tracking to Power BI dashboards. The role also provides user support, onboarding and training assistance, documentation, process standardization, and continuous improvement across regional sales entities.

Reviews public sources to identify business-conduct risks, sentiment, and relevant ESG information; labels and validates risk data using established methodologies and automated tools. Conducts online research, verifies AI-generated outputs, maintains accurate records, escalates data-quality concerns, and meets productivity and quality standards while collaborating with experienced analysts.

Collects, processes, and analyzes large datasets to identify trends, insights, and opportunities that improve business performance. Develops KPI reports, dashboards, data models, algorithms, and visualizations; evaluates data integrity; automates reporting; and communicates findings to technical and non-technical stakeholders. Supports analytics, automation, AI, and machine learning initiatives while collaborating with cross-functional teams and senior leadership.

Develops data solutions, dashboards, advanced analytics, automation, and data-quality monitoring to support risk management and business decision-making. Partners with business and technology teams on data visualization, governance, metadata, lineage, access controls, and self-service analytics. Requires quantitative education, data analytics experience, scripting, SQL or related data platforms, business intelligence tools, and AWS exposure. The position is hybrid in Alabang with a mid-shift schedule.

Manage global master data operations, including account creation, modifications, cleansing, harmonization, validation, uploads, compliance checks, troubleshooting, and issue escalation. Support SAP and related systems, prepare reports, maintain documentation, train stakeholders, monitor KPIs and SLAs, and lead process standardization and improvement initiatives. Collaborate with international teams on migrations, audits, data quality, business support, and technology-enabled process improvements.

Build and maintain data quality dashboards, write SQL queries, investigate client data issues, map regulatory requirements to data fields, monitor compliance, configure data quality alerts, and analyze data flows between mobile and back-office systems. Collaborate with product, engineering, operations, and compliance teams to improve data accuracy, completeness, validity, freshness, and consistency.

Processes, cleans, validates, and analyzes client data for sustainable packaging regulations. The role performs data quality checks, investigates anomalies, automates workflows, estimates EPR costs, documents methodologies, supports compliance and cost mitigation, and communicates data issues and solutions to stakeholders while monitoring regulatory developments.

Monitor sales compensation data pipelines, validate ingestion and commission calculations, reconcile transactional revenue, investigate anomalies, maintain SOPs and SOX controls, and produce Power BI and Excel operational reporting. The role partners with Finance, Revenue Operations, and global technology teams to resolve source-data defects, improve pipeline reliability, and support accurate month-end compensation processing.

Establishes data-quality rules, ownership models, governance processes, and exception-management workflows. Uses SQL and reporting tools to profile data, investigate issues, measure quality trends, identify root causes, and develop remediation plans. Documents definitions, mappings, process flows, RACI models, controls, and procedures; facilitates stakeholder alignment; and supports enterprise-tool data cleanup and process improvement.

Own Salesforce data governance and stewardship by defining standards, managing data quality, supporting migration and cleansing, resolving data issues, maintaining documentation, and validating integrations and reporting impacts. The role partners with business and technical teams on compliance, security, data models, remediation, user training, and governance decisions across Salesforce environments.

Lead enterprise Salesforce data governance and hygiene across Salesforce and Data Cloud. Establish privacy, retention, quality, deduplication, stewardship, and compliance standards; manage identity resolution, profile unification, integrations, and activation controls; develop data quality metrics and remediation processes; and partner with security, legal, architecture, AI, MDM, ERP, and data teams to improve trusted data for reporting, integrations, and AI.

Collects and analyzes data across finance, operations, sales, marketing, and creative departments. Builds executive dashboards, reports, forecasts, business models, and cost-benefit analyses to support strategic decisions and revenue growth. Translates complex findings into clear presentations for technical and non-technical audiences, identifies optimization opportunities, supports client reporting, and provides recommendations to company leadership in a fully remote advertising-agency environment.

Develops enterprise dashboards, reports, KPIs, and data quality scorecards using Power BI, Tableau, SQL, Databricks, and related platforms. Performs advanced analysis, identifies trends and anomalies, supports master data management and governance, validates data pipelines, and delivers actionable insights. Partners with stakeholders, data engineers, and data stewards to translate business requirements into reliable analytics solutions, resolve data quality issues, document metrics, and support end users.

Analyzes marketing and sales funnel performance across Salesforce and Databricks, builds certified datasets and dashboards, evaluates campaigns and nurture journeys, conducts validated AI-assisted market research, and presents actionable findings to Marketing, Sales, and RevOps stakeholders. The role also manages data quality, consent, suppression, reconciliation, documentation, and compliance in a regulated financial-services environment.

Analyze healthcare risk adjustment and health plan data across Medicare, Medicaid, and ACA Commercial programs. Build and maintain reliable data solutions using SQL, Python, ETL processes, databases, Tableau, Power BI, and Excel. Investigate application, data, system, and workflow issues, identify root causes, recommend corrective actions, and collaborate with technical teams to resolve problems.

Analyze and improve AI-powered transaction monitoring systems for money laundering, fraud, sanctions, and terrorist financing detection. Review high-risk transactions, identify behavioral patterns, test and refine machine learning models, develop metrics and dashboards, conduct experiments and ad hoc analyses, and provide clear recommendations. Collaborate with compliance, legal, Identity & Trust, and operations teams while ensuring AML and sanctions regulatory adherence and a positive customer experience.

Analyze and resolve complex financial data issues across asset classes. Maintain Rimes products and services, support data quality and infrastructure efficiency, answer client data questions, coordinate with data suppliers on methodologies and anomalies, and uphold data accuracy. The role requires strong problem-solving, communication, organization, initiative, and attention to detail, with useful experience in financial markets, Python or Perl, SQL, and Databricks.

Analyzes exposure, claims, workers compensation, medical, and indemnity data to support regulatory reporting, data quality, financial obligations, and business inquiries. Creates documentation, reports, and statistical analyses; investigates data anomalies and bureau criticisms; responds to ad hoc requests; and collaborates with business units and support teams to resolve issues and meet reporting deadlines.

Supports procurement through spend analysis, dashboard development, tender administration, supplier and contract data maintenance, reporting, process improvement, risk tracking, and cost optimization. The role uses Power BI, Excel, Power Query, Power Automate, and AI tools to improve procurement visibility and efficiency while coordinating with internal stakeholders, suppliers, and service providers.

Monitors and analyzes workers’ compensation exposure and claims data, improves data quality, prepares regulatory reports, resolves data inquiries and anomalies, and supports recurring and ad hoc reporting requests. The role requires advanced Excel, SQL, database, statistical analysis, documentation, and communication skills, with a focus on regulatory data call filings and financial obligations.

Monitors and analyzes workers’ compensation exposure, claims, and regulatory data. Creates documentation, reports, and statistical data call submissions; investigates data anomalies, bureau criticisms, and external inquiries; supports surcharge and assessment obligations; and responds to recurring and ad hoc requests. The role requires strong Excel, SQL, data management, reporting, documentation, communication, and problem-solving skills, with attention to data accuracy and regulatory requirements.

Collects and verifies shareholder meeting and corporate action data from regulatory filings, stock exchanges, company websites, and issuers. Responsibilities include obtaining meeting documents, identifying voting securities, encoding agendas and voting instructions, recording meeting results, investigating data issues, resolving reporting discrepancies, and responding to clients and internal stakeholders. The role requires strong attention to detail, communication, organization, problem-solving, and willingness to work late, overtime, weekends, and holidays during proxy season.

Analyze paid media and broader marketing performance across Meta, Google, YouTube, LinkedIn, and TikTok. Build and automate recurring reports and dashboards using HubSpot, Google Analytics, Data Studio, and spreadsheets. Monitor trends, anomalies, and optimization opportunities; maintain data integrity; support campaign planning and forecasting; and translate complex findings into actionable recommendations for non-technical stakeholders.